PEACE : Perception and expectations toward artificial intelligence in capsule endoscopy
(2021) In Journal of Clinical Medicine 10(23).- Abstract
Artificial intelligence (AI) has shown promising results in digestive endoscopy, especially in capsule endoscopy (CE). However, some physicians still have some difficulties and fear the advent of this technology. We aimed to evaluate the perceptions and current sentiments toward the use of AI in CE. An online survey questionnaire was sent to an audience of gastroenterologists. In addition, several European national leaders of the International CApsule endoscopy REsearch (I CARE) Group were asked to disseminate an online survey among their national communities of CE readers (CER). The survey included 32 questions regarding general information, perceptions of AI, and its use in daily life, medicine, endoscopy, and CE. Among 380 European... (More)
Artificial intelligence (AI) has shown promising results in digestive endoscopy, especially in capsule endoscopy (CE). However, some physicians still have some difficulties and fear the advent of this technology. We aimed to evaluate the perceptions and current sentiments toward the use of AI in CE. An online survey questionnaire was sent to an audience of gastroenterologists. In addition, several European national leaders of the International CApsule endoscopy REsearch (I CARE) Group were asked to disseminate an online survey among their national communities of CE readers (CER). The survey included 32 questions regarding general information, perceptions of AI, and its use in daily life, medicine, endoscopy, and CE. Among 380 European gastroenterologists who answered this survey, 333 (88%) were CERs. The mean average time length of experience in CE reading was 9.9 years (0.5–22). A majority of CERs agreed that AI would positively impact CE, shorten CE reading time, and help standardize reporting in CE and characterize lesions seen in CE. Nevertheless, in the foreseeable future, a majority of CERs disagreed with the complete replacement all CE reading by AI. Most CERs believed in the high potential of AI for becoming a valuable tool for automated diagnosis and for shortening the reading time. Currently, the perception is that AI will not replace CE reading.
(Less)
- author
- author collaboration
- organization
- publishing date
- 2021-12
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence, Machine learning, Perceptions and sentiments, Small bowel capsule endoscopy
- in
- Journal of Clinical Medicine
- volume
- 10
- issue
- 23
- article number
- 5708
- publisher
- MDPI AG
- external identifiers
-
- scopus:85120627804
- pmid:34884410
- ISSN
- 2077-0383
- DOI
- 10.3390/jcm10235708
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- id
- 9c79a7c1-1de3-40dd-b931-853cfc9f462f
- date added to LUP
- 2022-01-20 15:20:42
- date last changed
- 2024-06-17 02:52:15
@article{9c79a7c1-1de3-40dd-b931-853cfc9f462f,
abstract = {{<p>Artificial intelligence (AI) has shown promising results in digestive endoscopy, especially in capsule endoscopy (CE). However, some physicians still have some difficulties and fear the advent of this technology. We aimed to evaluate the perceptions and current sentiments toward the use of AI in CE. An online survey questionnaire was sent to an audience of gastroenterologists. In addition, several European national leaders of the International CApsule endoscopy REsearch (I CARE) Group were asked to disseminate an online survey among their national communities of CE readers (CER). The survey included 32 questions regarding general information, perceptions of AI, and its use in daily life, medicine, endoscopy, and CE. Among 380 European gastroenterologists who answered this survey, 333 (88%) were CERs. The mean average time length of experience in CE reading was 9.9 years (0.5–22). A majority of CERs agreed that AI would positively impact CE, shorten CE reading time, and help standardize reporting in CE and characterize lesions seen in CE. Nevertheless, in the foreseeable future, a majority of CERs disagreed with the complete replacement all CE reading by AI. Most CERs believed in the high potential of AI for becoming a valuable tool for automated diagnosis and for shortening the reading time. Currently, the perception is that AI will not replace CE reading.</p>}},
author = {{Leenhardt, Romain and Sainz, Ignacio Fernandez Urien and Rondonotti, Emanuele and Toth, Ervin and Van de Bruaene, Cedric and Baltes, Peter and Rosa, Bruno Joel and Triantafyllou, Konstantinos and Histace, Aymeric and Koulaouzidis, Anastasios and Dray, Xavier}},
issn = {{2077-0383}},
keywords = {{Artificial intelligence; Machine learning; Perceptions and sentiments; Small bowel capsule endoscopy}},
language = {{eng}},
number = {{23}},
publisher = {{MDPI AG}},
series = {{Journal of Clinical Medicine}},
title = {{PEACE : Perception and expectations toward artificial intelligence in capsule endoscopy}},
url = {{http://dx.doi.org/10.3390/jcm10235708}},
doi = {{10.3390/jcm10235708}},
volume = {{10}},
year = {{2021}},
}